Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.

The frequency, duration, and intensity of extreme heat events are increasing worldwide, posing a significant threat to public health. However, these events have been largely under-reported and understudied across the African continent. Consequently, the nature of extreme heat hazards and the impacts of such events across Africa remain largely unknown. This research aims to address this research gap by characterising extreme heat events and their trends for Mozambique using the high- resolution remotely sensed CHIRTS-daily temperature data for 1983-2016. The results can be used for heat impact assessments and development of heat early warning system for Mozambique and other data-scarce regions.